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Accurate Body Temperature Measurement of a Neonate Uusing Thermography Technology

机译:使用热成像技术精确体温测量新生儿

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One of the important measured vital signs in neonates is the body temperature. The traditional measurement uses adhesive pads, but medical staff are hindered by connectors attached to the infant. Remote infrared thermal imaging techniques provide a non-intrusive and safe method to measure body temperature. By means of the thermography technology, it is possible to monitor the variations and trends in the body temperature, which is more reliable, faster, less stressful than traditional methods. Measuring body temperature of a moving neonate remains a challenge. Moreover, factors like humidity, thermal lens forming through the incubator portholes, thermal noise from inside and outside the incubator, camera position and limited Field of View through the incubator portholes, etc. could disrupt a reliable measurement. This study will focus on developing a technique that measures neonates’ body temperature accurately in an incubator. By eliminating unwanted external factors, continual measurement of a Region of Interest (ROI) become more feasible from which trends become available for the techniques like Artificial Intelligence, Machine Learning or Deep Learning. Moreover, this method reduces stress and discomfort for the infant. The outcome of this study is more accurate and the temperature profile of a geometric shapes or ROI over time provides a valuable input to the physicians or nurses to provide higher quality care.
机译:新生儿中的一个重要测量的生命体征是体温。传统的测量使用粘性垫,但医务人员被连接到婴儿的连接器阻碍。远程红外线热成像技术提供了一种测量体温的非侵入式和安全方法。通过热成像技术,可以监测体温的变化和趋势,比传统方法更可靠,更快,压力较小。测量移动新生儿的体温仍然是一个挑战。此外,湿度等因素,通过培养箱浇口,培养箱内外的热噪声,通过培养箱托管等,摄像机位置和有限的视野。本研究将专注于开发一种在培养箱中准确地测量新生儿体温的技术。通过消除不需要的外部因素,对感兴趣区域(ROI)的持续测量变得更加可行,因此可以从中获得人工智能,机器学习或深度学习等技术的趋势。此外,该方法降低了婴儿的压力和不适。该研究的结果更准确,几何形状或ROI的温度曲线随着时间的推移为医生或护士提供了有价值的输入,以提供更高质量的护理。

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